DOI: 10.1002/ange.201100115 link
PMID: NA
OpenAlex ID: W4249340863
Category: Oncology
Title: Micromachine‐Enabled Capture and Isolation of Cancer Cells in Complex Media
Authors: Shankar Balasubramanian, Liangfang Zhang, Joseph Wang, Daniel Kagan, Chenming Hu, Susana Campuzano, María Jesús Lobo‐Castañón, Nicole Lim, ... (10 authors, truncated)
Publishing Date: 07-Apr-2011
YCR = 2011 / 72 / 1.37
Version 1.00 Year / Citations / Relative
Metric | Value | Date of Calculation |
---|---|---|
Citations count |
72 |
30-May-2024 |
Relative |
1.37 |
04-Aug-2024 |
Same Authors in Other Papers:
Logic 1 Same First Author: A first author detected by OpenAlex algorithm with possibility of multiple first authors. Good R-values of the same first author(s) as a first author(s) in other papers: 7.22, 4.83, 1.77, 1.51
Logic 2 Same Authors in Any Team: Good R-values of the same authors with any team in other papers: 71.66, 33.18, 31.77, 30.25, 27.43, 23.91, 23.31, 23.19, 23.02, 21.22, 19.53, 19.36, 18.21, 17.70, 17.02, ... (1002 found, truncated)
Same Authors Duplicates: duplicates across 2 logical groups are not added up in the final calculation, duplicates are shown with asterisk*.
Same Authors Total Good R-values: same authors total good non-duplicated R-values for above 2 logical groups: 1002
Article Expected CPY (Citations per Year): 4.06 Expected CPY Help
Article Actual CPY: 5.54 Actual CPY Help
Article Co-Citation FCR (Field Citation Rate): 6.80 FCR Help
Article Co-Citation Network Size: 5621 Co-Citation Network Size Help
Article Topics: Hydrodynamics of Active Matter, Microfluidic Techniques for Particle Manipulation and Separation, Nanonetworks and Molecular Communication Topics help
Article Keywords: Biological Nanomachines Keywords Help
Journal: Angewandte Chemie
Journal IF-ycr: 2.738 Journal IF-ycr Help
Journal short code: NA
Journal ISSN: 0044-8249
Journal OA-ID: 4210200754
Expected CPY Help: Predicted citations per year for this article, derived from its Field Citation Rate (FCR) using a benchmark regression of NIH-funded papers. Values above actual CPY indicate under-performance; below indicate over-performance. Used as the denominator of the Relative Citation Ratio.
Back to topActual CPY Help: Average yearly citations the article has received from publication through the current year, adjusted for partial years. Used as the numerator of the Relative Citation Ratio.
Back to topFCR Help: Mean journal citation rate for all papers in the article's co-citation network. For each network paper we substitute its journal’s impact factor (calculated from open data) as a proxy for citations per year, then average these values. This captures the citation intensity of the article's immediate research field and forms the basis for computing expected CPY.
Back to topCo-Citation Network Size Help: Number of unique papers co-cited with this article by its citing papers; larger networks yield more stable field estimates when calculating FCR and expected CPY.
Back to topTopics Help: OpenAlex assigns topics to each paper with an AI model that considers the title, abstract, journal, and citation links. Tags are chosen from about 4,500 research areas, and the highest-confidence tag becomes the paper's primary topic. Every topic sits in a hierarchy of domain, field, and subfield, so you can see exactly where the work fits in the wider map of science.
Back to topKeywords Help: Keywords are generated automatically from the paper's assigned topics. The OpenAlex system selects candidate terms, then keeps up to five that match closely with the title or abstract. These keywords highlight specific concepts or methods and give a quick complement to the broader topic tags.
Back to topJournal IF-ycr Help: Journal IF-ycr is a two-year impact factor recalculated from OpenAlex's open citation data. For a given journal and year Y, we:
- Count citations made in year Y by any paper to items that the journal published in years Y-1 and Y-2 (excluding the current year).
- Divide that citation count by the number of articles the journal published in those same two years.